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METHODHOW WE BUILD · A FIRST-PARTY REPORT

xpntl is built on xpntl.

The board in the product is the board we build on. Here it is in numbers, each with the query behind it.

MEASURED OCTOBER 6, 2026MAIN AT 556225d

WHAT WAS MEASURED21 WEEKS

  • REPOSITORYThe platform: API, web app, MCP server, CLI and this site
  • BOARDTwo product projects in our own workspace: the platform and the Apple apps
  • WINDOWMay 12, 2026, the first commit, to October 6, 2026
  • CHECK USEvery query is listed below
§ 01THE COUNT

twenty-one weeks, counted.

Six numbers. The charts below take them apart, and the Method lists the query behind each.

  • Commits on main

    995

    Since the first one, on May 12, 2026.

  • Name an agent as co-author

    81%

    807 of those 995 commits carry a co-author trailer for an agent.

  • Pull requests merged

    562

    All merged into main.

  • Busiest week

    91

    Pull requests merged in the week of August 17.

  • Issues completed

    400

    On our own board: 318 on the platform, 82 on the Apple apps.

  • Median, created to done

    8.7hours

    Platform issues completed since August 17. Three in four within 1.8 days, nine in ten within 10.1 days.

§ 02THE SHAPE

where the work went.

One chart from the repository and two from the board. Each has its data in a table underneath.

01REPOSITORYgit log main, grouped by week

four in five commits name an agent as co-author.

807 of the 995 commits on main carry a co-author trailer for an agent. Among the 887 that are not merge commits it is 805, nine in ten.

  • PULL REQUESTS562 merged into main
  • BUSIEST WEEK91 merged in the week of August 17
  • VERSIONS401 tagged by the release job, when a merge carries a feature or a fix
  • CHANGELOG9 entries, 90 line items

Commits on main, per week

995 commits, by calendar week. 807 name an agent as co-author.

  • Names an agent as co-author
  • Other commits
Commits on main per week, with the commits that name an agent as co-author marked One column for each calendar week from May 11 to October 5, 2026. Two busy stretches: 154 commits in the week of June 1, and 91 in the week of August 17. Most of every column is commits that name an agent as co-author. The data table below has every value. 0 40 80 120 160 MAY JUN JUL AUG SEP OCT Week of May 11: 69 commits, 51 naming an agent as co-author Week of May 18: 136 commits, 104 naming an agent as co-author Week of May 25: 88 commits, 86 naming an agent as co-author Week of Jun 1: 154 commits, 99 naming an agent as co-author Week of Jun 8: 118 commits, 74 naming an agent as co-author Week of Jun 15: 14 commits, 14 naming an agent as co-author Week of Jun 22: 20 commits, 19 naming an agent as co-author Week of Jun 29: 6 commits, 6 naming an agent as co-author Week of Jul 6: 25 commits, 25 naming an agent as co-author Week of Jul 20: 6 commits, 6 naming an agent as co-author Week of Jul 27: 18 commits, 18 naming an agent as co-author Week of Aug 3: 20 commits, 14 naming an agent as co-author Week of Aug 10: 69 commits, 59 naming an agent as co-author Week of Aug 17: 91 commits, 85 naming an agent as co-author Week of Aug 24: 65 commits, 62 naming an agent as co-author Week of Aug 31: 34 commits, 31 naming an agent as co-author Week of Sep 7: 15 commits, 12 naming an agent as co-author Week of Sep 14: 19 commits, 17 naming an agent as co-author Week of Sep 28: 26 commits, 23 naming an agent as co-author Week of Oct 5: 2 commits, 2 naming an agent as co-author 154 91 *
* The week of October 5, two days in when this was measured.
Data table
Week ofCommitsAgent co-authorShare
May 11695174%
May 1813610476%
May 25888698%
Jun 11549964%
Jun 81187463%
Jun 151414100%
Jun 22201995%
Jun 2966100%
Jul 62525100%
Jul 1300
Jul 2066100%
Jul 271818100%
Aug 3201470%
Aug 10695986%
Aug 17918593%
Aug 24656295%
Aug 31343191%
Sep 7151280%
Sep 14191789%
Sep 2100
Sep 28262388%
Oct 522100%
Total99580781.1%

02BOARDinsights: issues completed per week

400 issues done
in 21 weeks.

400 issues were completed on our own board: 318 on the platform and 82 on the Apple apps. The busiest week closed 78, and 199 landed in the three weeks from August 10.

  • PLATFORM318 issues completed
  • APPLE APPS82 issues completed
  • BUSIEST WEEK78 completed in the week of August 17
  • ON MERGEOn the platform, merging a pull request closes the card it names

Issues completed on our board, per week

400 issues, by the week each was completed.

  • Platform
  • Apple apps
Issues completed per week on xpntl's own board, by project The same calendar weeks as the commits chart. The first issue was completed in the week of May 18. The busiest week is August 17, with 78 issues, and the three weeks from August 10 hold 199 of the 400. The data table below has every value. 0 20 40 60 80 MAY JUN JUL AUG SEP OCT Week of May 18: 5 issues completed, 5 on the platform and 0 on the Apple apps Week of May 25: 6 issues completed, 6 on the platform and 0 on the Apple apps Week of Jun 1: 33 issues completed, 33 on the platform and 0 on the Apple apps Week of Jun 8: 24 issues completed, 24 on the platform and 0 on the Apple apps Week of Jun 15: 3 issues completed, 3 on the platform and 0 on the Apple apps Week of Jun 22: 8 issues completed, 7 on the platform and 1 on the Apple apps Week of Jun 29: 3 issues completed, 1 on the platform and 2 on the Apple apps Week of Jul 6: 1 issues completed, 1 on the platform and 0 on the Apple apps Week of Jul 20: 1 issues completed, 0 on the platform and 1 on the Apple apps Week of Jul 27: 14 issues completed, 14 on the platform and 0 on the Apple apps Week of Aug 3: 17 issues completed, 13 on the platform and 4 on the Apple apps Week of Aug 10: 46 issues completed, 35 on the platform and 11 on the Apple apps Week of Aug 17: 78 issues completed, 55 on the platform and 23 on the Apple apps Week of Aug 24: 75 issues completed, 69 on the platform and 6 on the Apple apps Week of Aug 31: 18 issues completed, 13 on the platform and 5 on the Apple apps Week of Sep 7: 10 issues completed, 10 on the platform and 0 on the Apple apps Week of Sep 14: 28 issues completed, 8 on the platform and 20 on the Apple apps Week of Sep 28: 27 issues completed, 19 on the platform and 8 on the Apple apps Week of Oct 5: 3 issues completed, 2 on the platform and 1 on the Apple apps 33 78 *
* The week of October 5, two days in when this was measured.
Data table
Week ofPlatformApple appsTotal
May 11000
May 18505
May 25606
Jun 133033
Jun 824024
Jun 15303
Jun 22718
Jun 29123
Jul 6101
Jul 13000
Jul 20011
Jul 2714014
Aug 313417
Aug 10351146
Aug 17552378
Aug 2469675
Aug 3113518
Sep 710010
Sep 1482028
Sep 21000
Sep 2819827
Oct 5213
Total31882400

03BOARDinsights: cycle time, platform issues completed since August 17

half done
within nine hours.

Of the 166 platform issues completed since August 17, half were done within 8.7 hours of being written, three in four within 1.8 days, and nine in ten within 10.1 days.

  • MEASURED166 platform issues completed since August 17
  • CLOCKFrom the moment an issue is written to the moment it is done, backlog time included
  • PERCENTILESp50 8.7 hours · p75 42.7 hours · p90 243.1 hours

Platform issues completed since August 17: time from created to done

166 issues. The scale is logarithmic.

Platform issues completed since August 17: time from created to done at the 50th, 75th and 90th percentile Of the 166 platform issues completed since August 17, half were done within 8.7 hours of being created, three in four within 42.7 hours, and nine in ten within 243.1 hours. 1 hour 1 day 1 week 4 weeks half within 8.7 hours half within 8.7 hours three in four within 42.7 hours three in four within 1.8 days nine in ten within 243.1 hours nine in ten within 10.1 days
Platform issues completed since August 17. The clock starts when an issue is created and stops when it is done.
Data table
Platform issues completed since Aug 17Done within
Half (p50)8.7 hours
Three in four (p75)42.7 hours, or 1.8 days
Nine in ten (p90)243.1 hours, or 10.1 days
Issues166
§ 03METHOD

every query, so you can check us.

Repository queries ran on October 6, 2026 against main at commit 556225d in the platform repository. Board queries ran the same day through xpntl's own MCP server, one project at a time.

NumberHow it was measuredResult
Commits on main git rev-list --count main 995
First commit git log main --reverse --format=%ad --date=short | head -1 2026-05-12
Commits naming an agent as co-author git log main -i --grep='^Co-authored-by: Claude' --format=%H | wc -l One line for each commit whose message carries a co-author trailer for an agent. 807, or 81.1%
The same, among commits that are not merges git log main --no-merges -i --grep='^Co-authored-by: Claude' --format=%H | wc -l, over git rev-list --count --no-merges main 805 of 887, or 90.8%
Commits per week git log main --format='%cI %H', grouped by week Weeks start on Monday, UTC, by commit date. Joined to the list of commits naming an agent as co-author. Chart 01
Pull requests merged gh pr list --state merged --limit 2000 --json number --jq length 562
Busiest week gh pr list --state merged --limit 2000 --json mergedAt, grouped by week starting Monday, UTC 91, week of 2026-08-17
Version tags git tag --list 'v*' | wc -l 401
Changelog Entries and line items counted on the changelog 9 entries, 90 items
Issues completed MCP tool xpntl_insights_throughput with projectId and days: 365, once per project Issues completed in the two product projects, the platform and the Apple apps, by the week each was completed. Four days of bulk housekeeping are left out: May 29, June 15, July 6 and August 11. 400: 318 and 82. Chart 02
Time from created to done MCP tool xpntl_insights_cycle_time with the platform's projectId and days: 50 Platform issues completed since August 17, which is 50 days before the measurement. Completion time minus creation time, in hours. Percentiles are continuous, computed in Postgres with percentile_cont. 8.7, 42.7 and 243.1 hours, across 166 issues. Chart 03

The board queries are the same ones behind the Insights page in the product, so any workspace can run them on its own board. Every number here carries the date at the top of the page.

The rules behind the numbershow people and agents share a board. Read the method →
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